MAFODKM: Mobile Application Framework for the management of Omics Data and Knowledge Mining

Abstract

There are many infectious diseases still plaguing different nations of the world. Some of these infectious diseases such as HIV, malaria, Ebola, and Lassa fever tend to affect less developed nations including those in Africa. In order to combat these diseases, there is need for ready access to omics data as the knowledge gained from this data can be used to combat infectious diseases globally. This study proposes a Mobile Application Framework for the management of Omics Data and Knowledge Mining (MAFODKM). The proposed framework was designed using a layered architecture. A prototype client application was implemented using JavaScript. In order to make it cross-platform, Apache Cordova framework was leveraged. The proposed framework will among other benefits provide an integrated platform for researchers to collaborate and conduct omics-related research to fight infectious diseases.

Computational construction of a glycoprotein multi-epitope subunit vaccine candidate for old and new South-African SARS-CoV-2 virus strains

“…Many scientific literatures have adopted the knowledge of computational genomics and immunoinformatic to proffer solutions to different diseases [ [85] , [86] , [87] ]. Many pieces of scientific literature have been published on the computational design of glycoprotein multi-epitope subunit vaccine candidates [ [13] , [14] , [15] , [16] , [17] , [18] , [19] , [20] , [21] , [22] , [23] , [24] , [25] , [26] , [27] , [28] , [29] , [30] ], but none has been specifically focused yet on the computational design of vaccine candidate for the old and new variants of the entire South African SARS-CoV-2 virus data strains from the year 2020–2021 [ [13] , [14] , [15] , [16] , [17] , [18] , [19] , [20] , [21] , [22] , [23] , [24] , [25] , [26] , [27] , [28] , [29] , [30] ].…”